Job description

About the Company At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you. About the Role We are seeking a highly motivated and talented Sr. Data Scientist to join our core Platform Team in Austin, Texas . As an Applied Scientist, you will be a key contributor to the development and improvement of the AI models that power FutureSecure.ai’s proactive intelligence capabilities. You’ll work alongside a team of experienced engineers and scientists, applying machine learning, data mining, and statistical analysis to build, deploy, and optimize our platform for seamless human-AI collaboration. This is a chance to be at the forefront of intelligent interactions and shape the future of work. Responsibilities Model Development & Innovation: E valuate machine learning models for understanding user intent, predicting workflow needs, and enhancing collaboration between people and AI. This includes exploring new algorithms, techniques, and data sources Data Mining & Feature Engineering: Extract, clean, and analyze large volumes of interaction data from various sources to identify patterns and develop impactful features for our AI models. This will focus on understanding how people work alongside AI systems Model Deployment & Monitoring: Collaborate with engineering teams to deploy machine learning models into production environments and continuously monitor their performance, identifying areas for improvement and retraining Research & Exploration: Stay abreast of the latest advancements in machine learning, data science, and human-computer interaction, and apply them to enhance our platform’s capabilities Experimentation & A/B Testing: Design and conduct experiments to evaluate the effectiveness of new models and features, using rigorous A/B testing methodologies to optimize for user experience and collaboration Collaboration & Communication: Effectively communicate technical findings and insights to both technical and non-technical audiences. Collaborate closely with engineers, user experience researchers, and product managers Contribution to Platform Architecture: Work with the Platform Team to ensure model integration, scalability, and efficiency within the overall architecture of FutureSecure.ai Proactive Intelligence Analysis: Leverage data to understand how people interact with AI, anticipating needs and proactively offering support and insights Minimum Qualifications 5+ years of experience as an Applied Scientist, Data Scientist, or Machine Learning Engineer Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field Strong proficiency in machine learning algorithms (e.g., regression, classification, clustering, deep learning) Experience with programming languages such as Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn Experience with data mining, data cleaning, and feature engineering Strong analytical and problem-solving abilities Excellent communication and collaboration skills Preferred Qualifications Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field Experience with cloud computing platforms (AWS, Azure, GCP) Why Join Us? A high-performance culture State-of-the-art technology Experience world-class leadership Scale of impact and purpose A competitive salary and a huge growth trajectory Work with the best in the industry Flexible work environment Diversity and creativity Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website. Pay Range $110,000 — $210,000 USD Future Secure AI Privacy Policy At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.

Requirements

Must-haves

Research & Exploration: Stay abreast of the latest advancements in machine learning, data science, and human-computer interaction, and apply them to enhance our platform’s capabilities
Experimentation & A/B Testing: Design and conduct experiments to evaluate the effectiveness of new models and features, using rigorous A/B testing methodologies to optimize for user experience and collaboration
Contribution to Platform Architecture: Work with the Platform Team to ensure model integration, scalability, and efficiency within the overall architecture of FutureSecure.ai
Proactive Intelligence Analysis: Leverage data to understand how people interact with AI, anticipating needs and proactively offering support and insights
5+ years of experience as an Applied Scientist, Data Scientist, or Machine Learning Engineer
Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
Strong proficiency in machine learning algorithms (e.g., regression, classification, clustering, deep learning)
Experience with programming languages such as Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
Experience with data mining, data cleaning, and feature engineering
Strong analytical and problem-solving abilities
Excellent communication and collaboration skills

Nice-to-haves

Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
Experience with cloud computing platforms (AWS, Azure, GCP)
Why Join Us?
A high-performance culture
State-of-the-art technology
Experience world-class leadership
Scale of impact and purpose
A competitive salary and a huge growth trajectory
Work with the best in the industry
Flexible work environment
Diversity and creativity

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonawsazuregcp

Platform: greenhouse
Effort: quick